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Optimization & Theory

43,292 papers (3 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Optimization (17,731) Learning Theory (6,809) Bayesian Inference (6,267) Theory (5,579) Statistical Learning (4,564) Neural Network Optimization (4,155) Stochastic Processes (2,948) Stochastic Methods (1,283) Loss Functions (1,220) Distributed Learning (1,202) Online Algorithms (1,013) Statistics (822) Generalization (376) Information Theory (370) Sample Complexity (282) Sparse Optimization (241) Game Theory (151) Convex Optimization (132) Optimal Transport (104) Robust Optimization (84) Distributed Optimization (73) Approximation Algorithms (33)

Papers per year

1
52
352
828
3,646
5,854
2000
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Papers (including subtopics)

Faster Rates for Convex-Concave Games COLT 2018 Faster Training Algorithms for Structured Sparsity-Inducing Norm IJCAI 2018 Fast Estimation of Causal Interactions using Wold Processes NeurIPS 2018 FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling ICLR 2018 Fast generalization error bound of deep learning from a kernel perspective AISTATS 2018 Fast Gradient-Based Methods with Exponential Rate: A Hybrid Control Framework ICML 2018 Fast Greedy MAP Inference for Determinantal Point Process to Improve Recommendation Diversity NeurIPS 2018 FastGRNN: A Fast, Accurate, Stable and Tiny Kilobyte Sized Gated Recurrent Neural Network NeurIPS 2018 Fast Information-theoretic Bayesian Optimisation ICML 2018 Fast Lexically Constrained Decoding with Dynamic Beam Allocation for Neural Machine Translation NAACL 2018 Fast Maximization of Non-Submodular, Monotonic Functions on the Integer Lattice ICML 2018 Fast MCMC Sampling Algorithms on Polytopes JMLR 2018 Fast Model Identification via Physics Engines for Data-Efficient Policy Search IJCAI 2018 Fast Monte-Carlo Localization on Aerial Vehicles Using Approximate Continuous Belief Representations CVPR 2018 Fast Rates of ERM and Stochastic Approximation: Adaptive to Error Bound Conditions NeurIPS 2018 Fast Similarity Search via Optimal Sparse Lifting NeurIPS 2018 Fast Stochastic AUC Maximization with $O(1/n)$-Convergence Rate ICML 2018 Fast Threshold Tests for Detecting Discrimination AISTATS 2018 Fast Variance Reduction Method with Stochastic Batch Size ICML 2018 Fast Variational Bayes for Heavy-tailed PLDA Applied to i-vectors and x-vectors Interspeech 2018 Feasible Arm Identification ICML 2018 Feature-correlation-aware Gaussian Process Latent Variable Model ACML 2018 Finding Crash-Consistency Bugs with Bounded Black-Box Crash Testing OSDI 2018 Finding Global Optima in Nonconvex Stochastic Semidefinite Optimization with Variance Reduction AISTATS 2018 Finding Influential Training Samples for Gradient Boosted Decision Trees ICML 2018